Data Scientist

MACHINE LEARNING TECHNOLOGIES LLC; Bentonville (AR); On-site; USD 110,000 - 150,000; Full time

Job summary

Machine Learning Technologies LLC is seeking a Data Scientist in Bentonville, AR to turn large datasets into actionable insights. You'll collect, clean, and analyze data, build predictive models, and communicate results to stakeholders.

You should be proficient in Python, SQL, machine learning, statistics, data visualization, and deploying models to production environments. Collaboration with engineers and analysts is essential.

Qualifications

• Experience collecting, cleaning, and analyzing large datasets.
• Strong experience with Python and SQL for data processing and modeling.
• Proficiency in machine learning, statistics, and data visualization.

Responsibilities

• Collect, clean, preprocess, and analyze structured and unstructured data.
• Develop and implement machine learning models to solve business problems.
• Perform exploratory data analysis to identify trends and patterns.
• Build predictive models using supervised and unsupervised learning.
• Develop statistical models and algorithms to improve performance.
• Use Python libraries for data analysis (Pandas, NumPy, SciKit-Learn).
• Write complex SQL queries to extract and analyze data.
• Develop data visualizations and dashboards (Power BI/Tableau/Matplotlib).
• Apply feature engineering to improve model accuracy.
• Evaluate models using metrics like accuracy, precision, recall, F1, RMSE.
• Work with large datasets using Spark, Hadoop, or cloud platforms.
• Collaborate with engineers and analysts to understand requirements.
• Deploy models into production environments.
• Monitor model performance and tune as needed.
• Document data science processes and findings.

Skills

Python

SQL

Machine Learning

Statistical Analysis

Data Visualization

Predictive Modeling

Tools

Power BI

Tableau

Matplotlib

Job description

Job Description

Job Overview

Job ID: J53542

Job Title: Data Scientist

Location: Bentonville, AR

Duration: 24 Months + Extension

Domain Exposure: IT/Software

Work Authorization: US Citizen,Green Card,OPT-EAD,CPT,H-1B,H4-EAD,L2-EAD,GC-EAD

Client: To Be Discussed Later

Employment Type: W-2, 1099, C2C

We are looking for an experienced Data Scientist responsible for collecting, analyzing, and interpreting large datasets to identify business insights and support data-driven decision-making. The candidate should have strong experience in Python, SQL, machine learning, statistical analysis, data visualization, and predictive modeling.

Roles And Responsibilities

• Collect, clean, preprocess, and analyze structured and unstructured datasets.
• Develop and implement machine learning models to solve business problems.
• Perform exploratory data analysis (EDA) to identify trends, patterns, and relationships.
• Build predictive models using supervised and unsupervised learning techniques.
• Develop statistical models and algorithms to improve business performance.
• Use Python libraries such as Pandas, NumPy, Scikit-learn, and SciPy for data analysis.
• Write complex SQL queries to extract, transform, and analyze data from databases.
• Develop data visualizations and dashboards using Power BI, Tableau, or Matplotlib.
• Apply feature engineering and feature selection techniques to improve model accuracy.
• Evaluate machine learning models using performance metrics such as accuracy, precision, recall, F1-score, and RMSE.
• Work with large datasets using Spark, Hadoop, or cloud-based data platforms.
• Collaborate with data engineers, business analysts, and stakeholders to understand business requirements.
• Deploy machine learning models into production environments.
• Monitor model performance and perform model tuning and optimization.
• Document data science processes, findings, and recommendations.

Equal Opportunity Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.